Combing CV with epochs in keras tumer

[sukrit2018]

I am new to Keras and Tensorflow. I want to explore the number of epochs and the CV for my project.

I replaced the MyTuner class as follows

class MyTuner(kerastuner.tuners.BayesianOptimization):
    def run_trial(self, trial, *args, **kwargs):
    # You can add additional HyperParameters for preprocessing and custom training loops
    # via overriding `run_trial`
        kwargs['epochs'] = trial.hyperparameters.Int('epochs', 20, 200, 10)
        kerastuner.tuners.Sklearn(cv=KFold(n_splits=3, random_state=1))
        super(MyTuner, self).run_trial(trial, *args, **kwargs)

Is this the correct approach?